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Lynx Analytics

Fullstack Developer (India)

  • Seen live on Lynx Analytics' site 2 days ago
  • Senior
Pay
Not stated
Location
Pune, Maharashtra, India
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Lynx Analytics' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Lynx Analytics, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends.

What This Involves

Front-End Development

  • Develop and maintain user interfaces for web applications using React and Next.js.
  • Translate wireframes and design mockups into functional, accessible UI components.
  • Identify and resolve front-end performance bottlenecks to ensure smooth user experiences.
  • Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library).

Back-End Development

  • Develop and maintain high-quality back-end services and APIs using Python.
  • Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
  • Manage containerized applications using Docker and Kubernetes.
  • Contribute to the design and evolution of scalable, cloud-native software architectures.
  • Contribute to and maintain CI/CD pipelines for web and back-end applications.

Collaboration and Quality

  • Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions.
  • Support the development and deployment of AI and analytics solutions.
  • Write clean, well-documented, and maintainable code across the full stack.
  • Participate in technical discussions, code reviews, and continuous improvement initiatives.
  • Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards.

Requirements

  • Bachelor’s degree in Computer Science or related fields.
  • 5+ years of software development experience, with meaningful time on both front-end and back-end systems.
  • Experience designing systems in cloud-native or distributed environments is a plus.
  • Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing teams.
  • Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day.

Key Competencies

  • Stakeholder Mentality: Treats the company's and client’s goals as their own and is genuinely motivated by its success.
  • Organisational Excellence : Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.
  • Discretion & Integrity : Handles sensitive and confidential information with professionalism and sound judgement.
  • Problem Solving : Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.
  • Collaboration : A team player who builds strong working relationships and communicates effectively with colleagues across all levels.

Why You Will Love It Here

  • Work on real-world AI and advanced analytics solutions with measurable business impact.
  • Collaborate with a global team of engineers and data scientists.
  • Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
  • A collaborative culture that values real outcomes.
  • Rapid learning opportunities and diverse challenges.
  • Flat organisational hierarchy with high visibility and accessibility to our leaders.

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